EntityIdentification
by u3588064
This is a MCP (Model Context Protocol) server that provides a comprehensive way to compare two sets of data, evaluating both exact and semantic equality of their values to identify if the data originates from the same entity.
Last updated: N/A
What is EntityIdentification?
This tool is a data comparison tool that leverages text normalization and a language model to determine if two sets of data originate from the same entity. It supports the MCP protocol.
How to use EntityIdentification?
To use this tool, install the necessary dependencies (genai) using pip. Then, utilize the provided functions: normalize_text, compare_values, and compare_json to compare JSON objects. An example is provided in the README.
Key features of EntityIdentification
Text Normalization
Value Comparison (exact and semantic)
JSON Traversal
Language Model Integration
Use cases of EntityIdentification
Identifying duplicate customer records
Verifying data consistency across different systems
Matching entities in knowledge graphs
Detecting fraudulent activities based on data similarity
FAQ from EntityIdentification
What is text normalization?
What is text normalization?
Text normalization converts text to lowercase, removes punctuation, and normalizes whitespace.
How does the tool compare values?
How does the tool compare values?
The tool compares values both exactly and semantically. For lists, it ignores the order of elements for semantic comparison.
What is the role of the language model?
What is the role of the language model?
The language model assesses semantic similarity between values and provides a final judgment on whether the data comes from the same entity.
How do I install the dependencies?
How do I install the dependencies?
You can install the necessary dependencies using pip: pip install genai
Is this project open source?
Is this project open source?
Yes, this project is licensed under the MIT License.